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Multiobjective Hyperparameter Optimization for Deep Learnin..:

, In: Proceedings of the 52nd International Conference on Parallel Processing Workshops,

Coletti, Mark ; Sedova, Ada ; Chahal, Rajni... - p. 172-179 , 2023

Link: https://dl.acm.org/doi/10.1145/3605731.3608931

RT 
T1 <cTitle>Proceedings of the 52nd International Conference on Parallel Processing Workshops</cTitle>: T1 <Title>Multiobjective Hyperparameter Optimization for Deep Learning Interatomic Potential Training Using NSGA-II</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3608931&Exemplar=1&LAN=DE
				
A1 Coletti, Mark
A1 Sedova, Ada
A1 Chahal, Rajni
A1 Gibson, Luke
A1 Roy, Santanu
A1 Bryantsev, Vyacheslav
PB ACM
YR 2023
K1 evolutionary computation
K1 high performance computing
K1 hyperparameter optimization
K1 machine learning
K1 molecular simulation
K1 multiobjective optimization
K1 neural network potentials
K1 neural networks
K1 Theory of computation
K1 Computing methodologies
K1 Applied computing
K1 Mathematics of computing
K1 Mathematical analysis
K1 Design and analysis of algorithms
K1 Machine learning
K1 Physical sciences and engineering
K1 Mathematical optimization
K1 Artificial intelligence
K1 Search methodologies
SP 172
OP 179
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3605731.3608931
DO https://dl.acm.org/doi/10.1145/3605731.3608931
SF ELIB - SuUB Bremen

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